Class

ksb.csle.component.controller

TensorflowServingController

Related Doc: package controller

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final class TensorflowServingController[T, R] extends BaseOnDemandServingController[T, OnDemandControllerInfo, R]

:: ApplicationDeveloperApi ::

Controller that simply pipelines DataFrame from one operator to another. This controller runs with TensorflowServingRunner on top of on-demand serving engine.

T

Data type.

R

Result type.

Linear Supertypes
BaseOnDemandServingController[T, OnDemandControllerInfo, R], BaseController[T, BaseResult], BaseDoer, Logging, Serializable, Serializable, AnyRef, Any
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Inherited
  1. TensorflowServingController
  2. BaseOnDemandServingController
  3. BaseController
  4. BaseDoer
  5. Logging
  6. Serializable
  7. Serializable
  8. AnyRef
  9. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new TensorflowServingController(runner: BaseRunner[_, _, _], p: OnDemandControllerInfo, ops: List[BaseGenericMutantOperator[_, R, R]])

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    runner

    Runner for tensorflow model serving.

    p

    Object that contains message ksb.csle.common.proto.WorkflowProto.SimpleOnDemandControllerInfo SimpleOnDemandControllerInfo contains no attribute.

    ops

    a series of BaseGenericMutantOperator objects that processes data one by one. Operators for tensorflow model serving.

Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  6. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  7. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  8. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  9. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  10. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  11. def init(): Any

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    Definition Classes
    BaseController
    Annotations
    @DeveloperApi()
  12. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  13. val logger: Logger

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    Attributes
    protected
    Definition Classes
    Logging
  14. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  15. final def notify(): Unit

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    Definition Classes
    AnyRef
  16. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  17. val ops: List[BaseGenericMutantOperator[_, R, R]]

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    a series of BaseGenericMutantOperator objects that processes data one by one.

    a series of BaseGenericMutantOperator objects that processes data one by one. Operators for tensorflow model serving.

    Definition Classes
    TensorflowServingController → BaseOnDemandServingController
  18. val p: OnDemandControllerInfo

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    Object that contains message ksb.csle.common.proto.WorkflowProto.SimpleOnDemandControllerInfo SimpleOnDemandControllerInfo contains no attribute.

    Object that contains message ksb.csle.common.proto.WorkflowProto.SimpleOnDemandControllerInfo SimpleOnDemandControllerInfo contains no attribute.

    Definition Classes
    TensorflowServingController → BaseOnDemandServingController
  19. final def pipeOperators(runner: BaseRunner[_, _, _], ops: Seq[BaseGenericMutantOperator[_, R, R]], r: R): R

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    Attributes
    protected
    Definition Classes
    BaseOnDemandServingController
    Annotations
    @tailrec()
  20. def progress(): BaseResult

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    Definition Classes
    BaseOnDemandServingController → BaseController
  21. val runner: BaseRunner[_, _, _]

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    Runner for tensorflow model serving.

    Runner for tensorflow model serving.

    Definition Classes
    TensorflowServingController → BaseOnDemandServingController
  22. def serve(): BaseResult

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    Start tensorflow model serving.

    Start tensorflow model serving.

    returns

    BaseResult Result data.

    Definition Classes
    TensorflowServingController → BaseOnDemandServingController
  23. def stop(): Any

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    Stop tensorflow model serving.

    Stop tensorflow model serving.

    returns

    Any Result data.

    Definition Classes
    TensorflowServingController → BaseOnDemandServingController → BaseController
  24. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  25. def toString(): String

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    Definition Classes
    AnyRef → Any
  26. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  27. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  28. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from BaseOnDemandServingController[T, OnDemandControllerInfo, R]

Inherited from BaseController[T, BaseResult]

Inherited from BaseDoer

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped